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Metabolomics Based Profiling of Dexamethasone Side Effects in Rats

Overview of attention for article published in Frontiers in Pharmacology, February 2018
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Title
Metabolomics Based Profiling of Dexamethasone Side Effects in Rats
Published in
Frontiers in Pharmacology, February 2018
DOI 10.3389/fphar.2018.00046
Pubmed ID
Authors

Abeer K. Malkawi, Karem H. Alzoubi, Minnie Jacob, Goran Matic, Asmaa Ali, Achraf Al Faraj, Falah Almuhanna, Majed Dasouki, Anas M. Abdel Rahman

Abstract

Dexamethasone (Dex) is a synthetic glucocorticoid that has anti-inflammatory and immunosuppressant effects and is used in several conditions such as asthma and severe allergy. Patients receiving Dex, either at a high dose or for a long time, might develop several side effects such as hyperglycemia, weight change, or osteoporosis due to itsin vivonon-selectivity. Herein, we used liquid chromatography-tandem mass spectrometry-based comprehensive targeted metabolomic profiling as well as radiographic imaging techniques to study the side effects of Dex treatment in rats. The Dex-treated rats suffered from a ∼20% reduction in weight gain, hyperglycemia (145 mg/dL), changes in serum lipids, and reduction in total serum alkaline phosphatase (ALP) (∼600 IU/L). Also, compared to controls, Dex-treated rats showed a distinctive metabolomics profile. In particular, serum amino acids metabolism showed six-fold reduction in phenylalanine, lysine, and arginine levels and upregulation of tyrosine and hydroxyproline reflecting perturbations in gluconeogenesis and protein catabolism which together lead to weight loss and abnormal bone metabolism. Sorbitol level was markedly elevated secondary to hyperglycemia and reflecting activation of the polyol metabolism pathway causing a decrease in the availability of reducing molecules (glutathione, NADPH, NAD+). Overexpression of succinylacetone (4,6-dioxoheptanoic acid) suggests a novel inhibitory effect of Dex on hepatic fumarylacetoacetate hydrolase. The acylcarnitines, mainly the very long chain species (C12, C14:1, C18:1) were significantly increased after Dex treatment which reflects degradation of the adipose tissue. In conclusion, long-term Dex therapy in rats is associated with a distinctive metabolic profile which correlates with its side effects. Therefore, metabolomics based profiling may predict Dex treatment-related side effects and may offer possible novel therapeutic interventions.

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 13%
Student > Ph. D. Student 12 12%
Student > Master 11 11%
Researcher 7 7%
Student > Postgraduate 7 7%
Other 13 13%
Unknown 36 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 13%
Medicine and Dentistry 11 11%
Agricultural and Biological Sciences 9 9%
Pharmacology, Toxicology and Pharmaceutical Science 8 8%
Neuroscience 5 5%
Other 14 14%
Unknown 39 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 May 2018.
All research outputs
#13,063,214
of 23,016,919 outputs
Outputs from Frontiers in Pharmacology
#3,661
of 16,331 outputs
Outputs of similar age
#165,177
of 336,873 outputs
Outputs of similar age from Frontiers in Pharmacology
#81
of 317 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,331 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 336,873 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.